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Reinforcement Learning for Anomaly Detection in Nuclear Power Plant Operation and Maintenance

  • Ezgi Gursel
  • , Mahboubeh Madadi
  • , Jamie Baalis Coble
  • , Vivek Agarwal
  • , Vaibhav Yadav
  • , Ronald L. Boring
  • , Anahita Khojandi
  • University of Tennessee
  • San Jose State University
  • Idaho National Laboratory

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
JournalNuclear Technology
DOIs
StateAccepted/In press - 2025
Externally publishedYes

ASJC Scopus Subject Areas

  • Nuclear and High Energy Physics
  • Nuclear Energy and Engineering
  • Condensed Matter Physics

Keywords

  • Reinforcement learning
  • anomaly detection
  • nuclear power plants
  • physics-informed

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